Improve your analysis of marine mammal survey and monitoring data in our live online course *Analysing Ecological Data with Detection Error (AEDD01)* .
https://prstats.org/course/analysing-ecological-data-with-detection-error-aedd01/ Many marine mammal datasets are affected by imperfect detection — animals present but not observed, missed acoustic detections, availability bias in aerial surveys, or variable detectability across habitats. This applied R course provides practical methods for modelling detection error so you can produce more accurate and defensible ecological inferences. The techniques are highly relevant to marine mammal research, including: - Line-transect and aerial survey data - Passive acoustic monitoring datasets - Photo-ID and capture-recapture surveys - Time-series of sightings or presence–absence data - Long-term monitoring programmes with variable effort The course covers: - Understanding detection probability and observation bias - Occupancy and abundance models with imperfect detection - Distance sampling and N-mixture modelling approaches - Working with point counts, ARU/acoustic data, and time-removal methods - Interpreting model outputs for ecological decision-making Participants work through live practical examples in R and receive course materials, datasets, and post-course support. *Course details* Dates: 20–23 April 2026 Duration: 4 days (approximately 4 hours per day) Format: Live online Fee: £350 This course is ideal for marine mammal researchers working with survey, acoustic monitoring, or long-term observational datasets who want robust statistical methods that explicitly account for detectability. Full details and registration: https://prstats.org/course/analysing-ecological-data-with-detection-error-aedd01/ Email [email protected] with any questions -- Oliver Hooker PhD. PR stats
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